Datadog vs. Red Hat OpenShift on IBM Cloud

As per my experience, Datadog is best suited for complex, cloud-native environments where unified observability is critical, as it integrates seamlessly with AWS and Azure. Moreover, it provides deep visibility into latency and error rates. Datadog pricing is less appropriate for Startups with a tight budget and for organizations needing advanced incident management.

Incentivized

RedHat OpenShift is not only suited for IBM Cloud but can run in ANY cloud. We installed in Azure Cloud, for example. It can also run on Linux servers or a Power 9 machine. It is built for multi-cloud or on-prem environments. IBM support provides such excellent guidance in the installation and configuration that no other product on the market can beat it.

Incentivized

• The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
• Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
• Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.

Incentivized

• Multiclick provisioning of resources makes it super easy to manage pods and deployments. We don't have to maintain code for the same
• In built security features and customizability ensures that organization wide standards are integrated well into the containers
• Automated backups, scale ups and fail recovery makes sure of minimal down time

Incentivized

• In my experience, .NET Tracing Agent caused severe and untraceable performance issues
• In my opinion, usage and billing structures were opaque and surprising
• In my experience, documentation was incomplete, contradicting or sometimes completely wrong, even for common infrastructure (AWS Fargate)
• I feel support was unhelpful at times, and bounced us back and forth to other teams
• In my opinion, multiple methods of sample rate control were ineffective, adding to excessive usage and cost

Incentivized

• I wish it had better compatibility with docker file syntax. We had issues when it couldn't build standard docker files
• Wish it had better documentation
• Wish they offered fully supported client libraries for the Openshift API rather than dumping it on a 3rd party

Incentivized

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

I think response time for IBM Cloud support should be improved.

Incentivized

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.

Incentivized

We evaluated a number of potential solutions and ultimately chose Red Hat OpenShift because it was compatible with our existing technology. Time and costs savings have been realized throughout the company since we implemented Red Hat OpenShift, and the IT department has been freed up to focus on activities that are more valuable.

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• Our customer satisfaction and NPS score has had positive outcomes based on new architecture
• We are focused on business outcomes vs running the service and maintenance
• OpenShift on IBM Cloud has had a direct, positive impact on TCO, ROI, and payback period
• Our staff is more focused on higher-level business activities, i.e. acquiring & customer retention

Incentivized